[go: up one dir, main page]

CN111490913B - A communication data quality monitoring system and method based on the Internet of Things platform - Google Patents

A communication data quality monitoring system and method based on the Internet of Things platform Download PDF

Info

Publication number
CN111490913B
CN111490913B CN202010321280.1A CN202010321280A CN111490913B CN 111490913 B CN111490913 B CN 111490913B CN 202010321280 A CN202010321280 A CN 202010321280A CN 111490913 B CN111490913 B CN 111490913B
Authority
CN
China
Prior art keywords
communication
module
node
channel
nodes
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202010321280.1A
Other languages
Chinese (zh)
Other versions
CN111490913A (en
Inventor
汤仕磊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Ancient Technology Co.,Ltd.
Original Assignee
Nanjing Shanggu Network Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing Shanggu Network Technology Co ltd filed Critical Nanjing Shanggu Network Technology Co ltd
Priority to CN202010321280.1A priority Critical patent/CN111490913B/en
Publication of CN111490913A publication Critical patent/CN111490913A/en
Application granted granted Critical
Publication of CN111490913B publication Critical patent/CN111490913B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/75Information technology; Communication
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y30/00IoT infrastructure
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0823Errors, e.g. transmission errors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • H04L43/0894Packet rate
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/12Shortest path evaluation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/12Shortest path evaluation
    • H04L45/123Evaluation of link metrics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Computing Systems (AREA)
  • Environmental & Geological Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Detection And Prevention Of Errors In Transmission (AREA)

Abstract

本发明公开了一种基于物联网平台的通信数据质量监测系统及方法,该系统包括通信节点路径确认模块、通信指令尝试接入模块、最优路径内通信质量参数检测模块、通信数据质量判定模块和物联网数据管理平台,通信节点路径确认模块确认不同应用服务器之间的通信节点和最优路径进行通信质量检测,通信指令尝试接入模块使不同应用服务器进行通信指令的发布,最优路径内通信质量参数检测模块监测不同应用服务器之间最优通信路径的通信质量,通信数据质量判定模块根据不同应用服务器之间的通信质量进行等级判定,物联网数据管理平台用于对系统内部模块的协调和数据上传,旨在通过检测通信信道不同时刻的不同数据,判定当前信道的通信质量。

Figure 202010321280

The invention discloses a communication data quality monitoring system and method based on the Internet of Things platform. The system includes a communication node path confirmation module, a communication instruction attempt access module, a communication quality parameter detection module in an optimal path, and a communication data quality determination module. With the IoT data management platform, the communication node path confirmation module confirms the communication nodes and optimal paths between different application servers for communication quality detection, and the communication instruction access module enables different application servers to issue communication instructions. The communication quality parameter detection module monitors the communication quality of the optimal communication path between different application servers, the communication data quality determination module determines the level according to the communication quality between different application servers, and the IoT data management platform is used to coordinate the internal modules of the system and data upload, the purpose is to determine the communication quality of the current channel by detecting different data at different times of the communication channel.

Figure 202010321280

Description

Communication data quality monitoring system and method based on Internet of things platform
Technical Field
The invention relates to the field of Internet of things, in particular to a communication data quality monitoring system and method based on an Internet of things platform.
Background
The Internet of things is an important component of a new generation of information technology and is also an important development stage of the 'informatization' era. The internet of things is the internet with which things are connected. The method has two layers, namely, the core and the foundation of the Internet of things are still the Internet, and the Internet is an extended and expanded network on the basis of the Internet; and secondly, the user side extends and expands to any article to perform information exchange and communication, namely, the article information. The internet of things is widely applied to network fusion through communication perception technologies such as intelligent perception, identification technology and pervasive computing, and is also called as the third wave of development of the world information industry after computers and the internet. The internet of things is an application expansion of the internet, and is not a network, but a business and an application. Therefore, the application innovation is the core of the development of the internet of things, and the innovation 2.0 taking the user experience as the core is the soul of the development of the internet of things.
The communication technology such as local network or internet is utilized to connect the sensors, the controller, the machine, the personnel and the objects together in a new way to form a network which is connected with the people and the objects and realizes informatization, remote management control and intellectualization. The internet of things is an extension of the internet, and comprises the internet and all resources on the internet, and is compatible with all applications of the internet, but all elements (all devices, resources, communication and the like) in the internet of things are personalized and privatized.
At present, the communication quality inside the network is judged to monitor the specific parameters inside the communication, the communication quality is judged through the parameters, but the communication parameters inside the communication channel are changed, the monitored data at different moments have certain differentiation, the method aims to detect different data of the communication channel at different moments, and the communication quality of the current channel is judged through fully analyzing the monitored data after integrating the data.
Disclosure of Invention
The invention aims to provide a communication data quality monitoring system and method based on an Internet of things platform, and aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
a communication data quality monitoring system based on an Internet of things platform comprises a communication node path confirmation module, a communication instruction trial access module, an optimal path communication quality parameter detection module, a communication data quality judgment module and an Internet of things data management platform, wherein the communication node path confirmation module, the communication instruction trial access module and the optimal path communication quality parameter detection module are mutually connected through an intranet;
the communication node path confirmation module is used for confirming communication nodes and optimal paths among different application servers and detecting communication quality of the optimal paths, the communication instruction access attempt module is used for enabling the different application servers to issue communication instructions and monitoring the sending rate of the communication instructions, the communication quality parameter detection module in the optimal paths is used for monitoring the communication quality of the optimal communication paths among the different application servers, the communication data quality judgment module is used for carrying out grade judgment according to the communication quality among the different application servers, and the Internet of things data management platform is used for coordinating internal modules of the system and uploading data.
By adopting the technical scheme: the communication node path confirmation module comprises a communication node screening submodule and a different node optimal path confirmation submodule, wherein the communication node screening submodule is used for screening communication nodes among different application servers and confirming communication paths of the different nodes, and the different node optimal path confirmation submodule is used for counting paths among the different nodes and confirming optimal paths of the two communication nodes among the different application servers, so that the optimal paths are sent to the communication instruction access attempt module.
By adopting the technical scheme: the communication instruction access attempt module comprises an application server port instruction access submodule and a communication instruction sending rate monitoring submodule, wherein the application server port instruction access submodule is used for accessing an application server into a communication node through a port and sending a communication instruction to the next node, and the communication instruction sending rate monitoring submodule is used for monitoring the node accessAfter the communication instruction is sent to another node through the optimal instruction, the channel capacity and the channel interference rate are judged, so that the sending rate of the communication node between different application servers is judged, and the information quantity of the instruction sending end of different nodes is set to be Kibit, the information quantity of the receiving end is Kjbit, wherein the time from the sending end to the receiving end is instructed to be ts, and the channel interference rate is set to be K0According to the formula:
Figure GDA0003217945780000031
the channel capacity is set to be Kx,
Figure GDA0003217945780000032
when K is0And when the current communication node interference rate is smaller than a set threshold value, judging that the current communication node interference rate is smaller, counting the channel capacity of the communication node channels between different application servers, judging the sending rate of the communication nodes between different application servers, marking the counted sending rates of the communication nodes between different application servers in sequence, making a list and sending the list to the communication quality parameter detection module in the optimal path.
By adopting the technical scheme: the communication parameter detection module in the optimal path comprises a communication path signal strength analysis submodule and a signal error rate analysis submodule, wherein the communication path signal strength analysis submodule is used for monitoring the signal strength inside a communication node between different application servers, analyzing different signals of a node sending end and a node receiving end and judging the communication quality inside a communication channel, and the signal error rate analysis submodule detects the signal error rate inside the channel according to the signals of the communication node sending end and the communication node receiving end, counts the signal error rates of different channels and sends the channel signal strength and the signal error rate inside the communication node between different application servers to a communication data quality judgment module.
By adopting the technical scheme: the communication data quality judging module comprises node communication quality grade marking sub-modules and low-quality node communication warning sub-modules, wherein the node communication quality grade marking sub-modules are used for obtaining communication channel parameters detected by the communication parameter detecting module in the optimal path, the communication channel parameters comprise signal strength and channel signal error rate inside communication nodes among different application servers, the signal strength and the channel signal error rate of detected numbers are sorted to form a list, the list is divided into grades according to the sorting and sent to the low-quality node communication warning sub-modules, and the low-quality node communication warning sub-modules are used for warning the communication nodes with the signal strength and the channel signal error rate inside the communication nodes among the application servers lower than set thresholds and sending the warning to the Internet of things data management platform for manual processing.
By adopting the technical scheme: the Internet of things data management platform comprises node data uploading submodules and a manual intervention channel, wherein the node data uploading submodules are used for receiving data monitored by each module in the system to store and backup so as to be called, and the manual intervention channel is used for enabling manual maintenance and data intervention to be carried out on each module in the channel.
A communication data quality monitoring method based on an Internet of things platform comprises the following steps:
s1: the communication node path confirmation module is used for confirming communication nodes and optimal paths among different application servers to carry out communication quality detection, the communication node screening submodule screens the communication nodes among the different application servers and confirms the communication paths of the different nodes, the different node optimal path confirmation submodule carries out statistics on the paths among the different nodes and confirms the optimal paths of the two communication nodes among the different application servers, and therefore the optimal paths are sent to the communication instruction trial access module and the communication quality parameter detection module in the optimal paths;
s2: the communication instruction trial access module is utilized to enable different application servers to issue communication instructions and monitor the sending rate of the communication instructions, the application server port instruction access submodule enables the application servers to access the communication nodes through ports and sends the communication instructions to the next node, the communication instruction sending rate monitoring submodule monitors the channel capacity and the channel interference rate of the other node through optimal instructions after the communication instructions are accessed by the nodes,therefore, the sending rate of the communication nodes among different application servers is judged, and the information quantity of the instruction sending end of different nodes is set to be Kibit, the information quantity of the receiving end is Kjbit, wherein the time from the sending end to the receiving end is instructed to be ts, and the channel interference rate is set to be K0According to the formula:
Figure GDA0003217945780000061
the channel capacity is set to be Kx,
Figure GDA0003217945780000062
when K is0When the current communication node interference rate is smaller than a set threshold value, judging that the current communication node channel interference rate is smaller, counting the channel capacity of the communication node channels between different application servers, judging the sending rate of the communication nodes between different application servers, marking the counted sending rates of the communication nodes between different application servers in sequence, making a list and sending the list to a communication quality parameter detection module in an optimal path;
s3: monitoring the communication quality of an optimal communication path between different application servers by using an optimal path internal communication quality parameter detection module, monitoring the signal intensity inside a communication node between different application servers by using a communication path signal intensity analysis submodule, analyzing different signals of a node sending end and a node receiving end, judging the communication quality inside a communication channel, detecting the signal error rate inside the channel by using a signal error rate analysis submodule according to the signals of the communication node sending end and the communication node receiving end, counting the signal error rates of different channels, and sending the channel signal intensity and the signal error rate inside the communication node between different application servers to a communication data quality judgment module;
s4: the communication data quality judging module is used for carrying out grade judgment according to the communication quality among different application servers, each node communication quality grade marking submodule acquires communication channel parameters detected by the communication parameter detecting module in an optimal path, the communication channel parameters comprise the signal strength and the channel signal error rate inside communication nodes among the different application servers, the signal strength and the channel signal error rate of detected numbers are sequenced to form a list, the list is subjected to grade division according to the sequence and is sent to the low-quality node communication warning submodule, and the low-quality node communication warning submodule carries out warning on the communication nodes of which the signal strength and the channel signal error rate inside the communication nodes among the application servers are lower than a set threshold value and sends the warning to the Internet of things data management platform for manual processing;
s5: the coordination and data uploading of the internal modules of the system are realized by using the data management platform of the Internet of things, the data uploading sub-modules of all nodes receive the data monitored by all the modules in the system for storage and backup so as to be called, and the manual intervention channel enables manual maintenance and data intervention to be carried out on all the modules in the channel.
By adopting the technical scheme: in step S3, the communication path signal strength analysis submodule monitors the signal strength inside the communication node between different application servers, analyzes different signals of the node sending end and the node receiving end, and determines the communication quality inside the communication channel, and further includes the following steps:
the setting monitors the communication intensity of different communication nodes among different application servers, wherein the signal intensity of the communication node instruction sender is N1、N2、N3、…、Nn-1、NnThe signal strength of the communication instruction receiving party is M1、M2、M3、…、Mn-1、MnWhen N is presentnMore than or equal to 80dbm, judging that the signal strength of the communication node instruction sender is poor and the communication node instruction sender cannot send the signal strength, and when M is less than or equal to 80dbmnAnd when the signal strength Mn and the signal strength Nn of the sender and the receiver among the current communication nodes are monitored, the signal strength of the sender and the receiver among different communication nodes is judged to be normal, the sender node and the receiver node among different communication nodes are matched, a list is formed after sequencing according to the monitoring signal strength of different communication nodes, and the list is sent to a communication data quality judgment module.
By adopting the technical scheme: in step S3, the signal error rate analysis sub-module detects the signal error rate inside the channel according to the signals of the transmitting end and the receiving end of the analysis communication node, and counts the signal error rates of different channels, and further includes the following steps:
the set communication node instructs the transmitting side to transmit an instruction signal to the receiving side, wherein the error rate of the signal in the channel is checked, and the time for checking the error rate of the signal in the channel is set as t1、t2、t3、…、tn-1、tnWherein, t1Signalling time, t, for communication nodesnFor the communication node signal command acceptance time, the signal error rate of the monitoring time is respectively C1、C2、C3、…、Cn-1、CnAccording to the formula:
Figure GDA0003217945780000081
Cn-C1≤10%
when the error rate of the signals in the monitored channels between the communication nodes meets the formula, the communication quality of the communication of the current node is marked to be qualified, when the error rate of the signals in the monitored channels between the communication nodes does not meet the formula, the communication quality of the communication of the current node is marked to be unqualified, different communication nodes are monitored one by one, unified data are formed into a list, and the list is sent to a communication data quality judgment module.
Compared with the prior art, the invention has the beneficial effects that: the invention aims to judge the communication quality of the current channel by detecting different data of the communication channel at different moments and integrating and fully analyzing a plurality of monitored data;
the system comprises a communication node path confirmation module, a communication instruction trial access module, a communication data quality judgment module, an Internet of things data management platform and a system internal module, wherein the communication node path confirmation module is used for confirming communication nodes between different application servers and an optimal path to carry out communication quality detection, the communication instruction trial access module is used for enabling the different application servers to carry out issuing of communication instructions and monitoring the sending rate of communication instructions, the communication quality parameter detection module in the optimal path is used for monitoring the communication quality of the optimal communication path between the different application servers, the communication data quality judgment module is used for carrying out grade judgment according to the communication quality between the different application servers, and the Internet of things data management platform is used for coordinating internal modules of the system and uploading data.
Drawings
In order that the present invention may be more readily and clearly understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
Fig. 1 is a schematic structural diagram of a module of a communication data quality monitoring system based on an internet of things platform according to the present invention;
fig. 2 is a schematic diagram illustrating specific steps of a communication data quality monitoring method based on an internet of things platform according to the present invention;
fig. 3 is a schematic diagram of an implementation method of the communication data quality monitoring method based on the internet of things platform.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 3, in the embodiment of the present invention, a communication data quality monitoring system and method based on an internet of things platform include a communication node path confirmation module, a communication instruction trial access module, an optimal path communication quality parameter detection module, a communication data quality determination module, and an internet of things data management platform, where the communication node path confirmation module, the communication instruction trial access module, and the optimal path communication quality parameter detection module are connected to each other through an intranet, the optimal path communication quality parameter detection module and the communication data quality determination module are connected through the intranet, and the communication node path confirmation module, the communication instruction trial access module, the optimal path communication quality parameter detection module, and the communication data quality determination module are respectively connected to the internet of things data management platform through the intranet;
the communication node path confirmation module is used for confirming communication nodes and optimal paths among different application servers and detecting communication quality of the optimal paths, the communication instruction access attempt module is used for enabling the different application servers to issue communication instructions and monitoring the sending rate of the communication instructions, the communication quality parameter detection module in the optimal paths is used for monitoring the communication quality of the optimal communication paths among the different application servers, the communication data quality judgment module is used for carrying out grade judgment according to the communication quality among the different application servers, and the Internet of things data management platform is used for coordinating internal modules of the system and uploading data.
By adopting the technical scheme: the communication node path confirmation module comprises a communication node screening submodule and a different node optimal path confirmation submodule, wherein the communication node screening submodule is used for screening communication nodes among different application servers and confirming communication paths of the different nodes, and the different node optimal path confirmation submodule is used for counting paths among the different nodes and confirming optimal paths of the two communication nodes among the different application servers, so that the optimal paths are sent to the communication instruction access attempt module.
By adopting the technical scheme: the communication instruction trial access module comprises an application server port instruction access submodule and a communication instruction sending rate monitoring submodule, the application server port instruction access submodule is used for enabling an application server to be accessed into a communication node through a port and sending a communication instruction to a next node, the communication instruction sending rate monitoring submodule is used for monitoring the channel capacity and the channel interference rate of the node which is accessed into the communication instruction and then sent to another node through an optimal instruction, so that the sending rate of the communication node between different application servers is judged, and the information quantity of different node instruction sending ends is set to be Kibit, the information quantity of the receiving end is Kjbit,Wherein, the time from the sending end to the receiving end is instructed to be ts, and the channel interference rate is set to be K0According to the formula:
Figure GDA0003217945780000111
the channel capacity is set to be Kx,
Figure GDA0003217945780000112
when K is0And when the current communication node interference rate is smaller than a set threshold value, judging that the current communication node interference rate is smaller, counting the channel capacity of the communication node channels between different application servers, judging the sending rate of the communication nodes between different application servers, marking the counted sending rates of the communication nodes between different application servers in sequence, making a list and sending the list to the communication quality parameter detection module in the optimal path.
By adopting the technical scheme: the communication parameter detection module in the optimal path comprises a communication path signal strength analysis submodule and a signal error rate analysis submodule, wherein the communication path signal strength analysis submodule is used for monitoring the signal strength inside a communication node between different application servers, analyzing different signals of a node sending end and a node receiving end and judging the communication quality inside a communication channel, and the signal error rate analysis submodule detects the signal error rate inside the channel according to the signals of the communication node sending end and the communication node receiving end, counts the signal error rates of different channels and sends the channel signal strength and the signal error rate inside the communication node between different application servers to a communication data quality judgment module.
By adopting the technical scheme: the communication data quality judging module comprises node communication quality grade marking sub-modules and low-quality node communication warning sub-modules, wherein the node communication quality grade marking sub-modules are used for obtaining communication channel parameters detected by the communication parameter detecting module in the optimal path, the communication channel parameters comprise signal strength and channel signal error rate inside communication nodes among different application servers, the signal strength and the channel signal error rate of detected numbers are sorted to form a list, the list is divided into grades according to the sorting and sent to the low-quality node communication warning sub-modules, and the low-quality node communication warning sub-modules are used for warning the communication nodes with the signal strength and the channel signal error rate inside the communication nodes among the application servers lower than set thresholds and sending the warning to the Internet of things data management platform for manual processing.
By adopting the technical scheme: the Internet of things data management platform comprises node data uploading submodules and a manual intervention channel, wherein the node data uploading submodules are used for receiving data monitored by each module in the system to store and backup so as to be called, and the manual intervention channel is used for enabling manual maintenance and data intervention to be carried out on each module in the channel.
A communication data quality monitoring method based on an Internet of things platform comprises the following steps:
s1: the communication node path confirmation module is used for confirming communication nodes and optimal paths among different application servers to carry out communication quality detection, the communication node screening submodule screens the communication nodes among the different application servers and confirms the communication paths of the different nodes, the different node optimal path confirmation submodule carries out statistics on the paths among the different nodes and confirms the optimal paths of the two communication nodes among the different application servers, and therefore the optimal paths are sent to the communication instruction trial access module and the communication quality parameter detection module in the optimal paths;
s2: the communication instruction trial access module is used for enabling different application servers to issue communication instructions and monitoring the sending rate of the communication instructions, the application server port instruction access submodule enables the application servers to access communication nodes through ports, the communication instructions are sent to the next node for the nodes, the communication instruction sending rate monitoring submodule monitors the channel capacity and the channel interference rate of the nodes which are sent to the other node through the optimal instructions after the nodes access the communication instructions, therefore, the sending rate of the communication nodes among the different application servers is judged, and the information quantity of different node instruction sending ends is set to be Kibit, the information quantity of the receiving end is Kjbit, wherein the time from the sending end to the receiving end is instructed to be ts, and the channel interference rate is set to be K0According to the formula:
Figure GDA0003217945780000131
the channel capacity is set to be Kx,
Figure GDA0003217945780000132
when K is0When the current communication node interference rate is smaller than a set threshold value, judging that the current communication node channel interference rate is smaller, counting the channel capacity of the communication node channels between different application servers, judging the sending rate of the communication nodes between different application servers, marking the counted sending rates of the communication nodes between different application servers in sequence, making a list and sending the list to a communication quality parameter detection module in an optimal path;
s3: monitoring the communication quality of an optimal communication path between different application servers by using an optimal path internal communication quality parameter detection module, monitoring the signal intensity inside a communication node between different application servers by using a communication path signal intensity analysis submodule, analyzing different signals of a node sending end and a node receiving end, judging the communication quality inside a communication channel, detecting the signal error rate inside the channel by using a signal error rate analysis submodule according to the signals of the communication node sending end and the communication node receiving end, counting the signal error rates of different channels, and sending the channel signal intensity and the signal error rate inside the communication node between different application servers to a communication data quality judgment module;
s4: the communication data quality judging module is used for carrying out grade judgment according to the communication quality among different application servers, each node communication quality grade marking submodule acquires communication channel parameters detected by the communication parameter detecting module in an optimal path, the communication channel parameters comprise the signal strength and the channel signal error rate inside communication nodes among the different application servers, the signal strength and the channel signal error rate of detected numbers are sequenced to form a list, the list is subjected to grade division according to the sequence and is sent to the low-quality node communication warning submodule, and the low-quality node communication warning submodule carries out warning on the communication nodes of which the signal strength and the channel signal error rate inside the communication nodes among the application servers are lower than a set threshold value and sends the warning to the Internet of things data management platform for manual processing;
s5: the coordination and data uploading of the internal modules of the system are realized by using the data management platform of the Internet of things, the data uploading sub-modules of all nodes receive the data monitored by all the modules in the system for storage and backup so as to be called, and the manual intervention channel enables manual maintenance and data intervention to be carried out on all the modules in the channel.
By adopting the technical scheme: in step S3, the communication path signal strength analysis submodule monitors the signal strength inside the communication node between different application servers, analyzes different signals of the node sending end and the node receiving end, and determines the communication quality inside the communication channel, and further includes the following steps:
the setting monitors the communication intensity of different communication nodes among different application servers, wherein the signal intensity of the communication node instruction sender is N1、N2、N3、…、Nn-1、NnThe signal strength of the communication instruction receiving party is M1、M2、M3、…、Mn-1、MnWhen N is presentnMore than or equal to 80dbm, judging that the signal strength of the communication node instruction sender is poor and the communication node instruction sender cannot send the signal strength, and when M is less than or equal to 80dbmnAnd when the signal strength Mn and the signal strength Nn of the sender and the receiver among the current communication nodes are monitored, the signal strength of the sender and the receiver among different communication nodes is judged to be normal, the sender node and the receiver node among different communication nodes are matched, a list is formed after sequencing according to the monitoring signal strength of different communication nodes, and the list is sent to a communication data quality judgment module.
By adopting the technical scheme: in step S3, the signal error rate analysis sub-module detects the signal error rate inside the channel according to the signals of the transmitting end and the receiving end of the analysis communication node, and counts the signal error rates of different channels, and further includes the following steps:
the set communication node instructs the transmitting side to transmit an instruction signal to the receiving side, wherein the error rate of the signal in the channel is checked, and the time for checking the error rate of the signal in the channel is set as t1、t2、t3、…、tn-1、tnWherein, t1Signalling time, t, for communication nodesnFor the communication node signal command acceptance time, the signal error rate of the monitoring time is respectively C1、C2、C3、…、Cn-1、CnAccording to the formula:
Figure GDA0003217945780000151
Cn-C1≤10%
when the error rate of the signals in the monitored channels between the communication nodes meets the formula, the communication quality of the communication of the current node is marked to be qualified, when the error rate of the signals in the monitored channels between the communication nodes does not meet the formula, the communication quality of the communication of the current node is marked to be unqualified, different communication nodes are monitored one by one, unified data are formed into a list, and the list is sent to a communication data quality judgment module.
Example 1: limiting conditions, setting the information quantity of an instruction transmitting end of different nodes to be 5120 bits and the information quantity of a receiving end to be 4960 bits, wherein the time from the instruction transmitting end to the receiving end is 4s, and the channel interference rate is set to be K0According to the formula:
Figure GDA0003217945780000161
Figure GDA0003217945780000162
the current channel interference rate is set to be 5 percent, wherein, the current channel interference rate is 3.2 percent<And 5%, judging that the channel interference rate between the current communication nodes is smaller.
The current channel capacity is set to Kx,
Figure GDA0003217945780000163
and counting the channel capacity of communication node channels among different application servers, judging the sending rate of the communication nodes among the different application servers one by one according to the formula, marking the counted sending rates of the communication nodes among the different application servers in sequence, making a list and sending the list to the communication quality parameter detection module in the optimal path.
Example 2: defining conditions, the setting monitors the communication intensity of different communication nodes among different application servers, wherein the signal intensity of the communication node instruction sender is 45dbm, the signal intensity of the communication instruction receiver is 81dbm, the signal intensity of the sender is 45dbm belonging to 40dbm and 80dbm, the communication node instruction sender has good signal intensity and can normally send signals, the signal intensity of the receiver is 81dbm which is more than or equal to 80dbm, the condition that the signal intensity of the communication node instruction receiver is poor and cannot be received is judged, the communication quality data among the monitored nodes is directly sent to the low-quality node communication alarm submodule for automatic alarm, the sender node and the receiver node among different communication nodes are matched to monitor the signal intensity one by one, and sequencing according to the monitoring signal intensities of different communication nodes to form a list, and sending the list to a communication data quality judgment module.
Example 3: and limiting conditions, setting a communication node instruction transmitting direction to instruct a receiving party to transmit an instruction signal, wherein the error rate of a signal inside a channel is checked, and the time for checking the error rate of the signal inside the channel is set to be 1s, 2s, 3s and 4s, wherein 1s is the signal instruction transmitting time of the communication node, 4s is the signal instruction receiving time of the communication node, the signal error rates of the monitoring time are respectively 0.3%, 0.7%, 1.1% and 2.3%, according to the formula:
Figure GDA0003217945780000171
2.3%-0.3%=2%≤10%
when the error rate of the signal error rate in the monitored channel between the communication nodes meets the formula, the communication quality of the current node communication is marked to be qualified, different communication nodes are monitored one by one, unified data are formed into a list, and the list is sent to a communication data quality judgment module.
Example 4: and limiting conditions, setting a communication node instruction transmitting direction to instruct a receiving party to transmit an instruction signal, wherein the error rate of a signal inside a channel is checked, and the time for checking the error rate of the signal inside the channel is set to be 1s, 4s, 7s and 11s, wherein 1s is the signal instruction transmitting time of the communication node, 11s is the signal instruction receiving time of the communication node, the signal error rates of the monitoring time are respectively 3.3%, 6.1%, 8.9% and 13.4%, according to the formula:
Figure GDA0003217945780000172
13.4%-3.3%=10.1%>10%
and the error rate of the signal error rate in the monitored channel between the communication nodes does not satisfy the formula, the communication quality of the current node communication is marked to be unqualified, different communication nodes are monitored one by one, and unified data are formed into a list and sent to the communication data quality judgment module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (4)

1.一种基于物联网平台的通信数据质量监测系统,其特征在于:所述该系统包括通信节点路径确认模块、通信指令尝试接入模块、最优路径内通信质量参数检测模块、通信数据质量判定模块和物联网数据管理平台,其中,通信节点路径确认模块、通信指令尝试接入模块、最优路径内通信质量参数检测模块通过内网相互连接,最优路径内通信质量参数检测模块、通信数据质量判定模块通过内网连接,通信节点路径确认模块、通信指令尝试接入模块、最优路径内通信质量参数检测模块、通信数据质量判定模块分别和物联网数据管理平台通过内网连接;1. A communication data quality monitoring system based on an Internet of Things platform, characterized in that: the system comprises a communication node path confirmation module, a communication instruction attempt access module, a communication quality parameter detection module in an optimal path, a communication data quality The determination module and the IoT data management platform, wherein the communication node path confirmation module, the communication instruction attempt access module, the communication quality parameter detection module in the optimal path are connected to each other through the intranet, the communication quality parameter detection module in the optimal path, the communication quality parameter detection module The data quality judgment module is connected through the intranet, and the communication node path confirmation module, the communication command attempt access module, the communication quality parameter detection module in the optimal path, and the communication data quality judgment module are respectively connected with the IoT data management platform through the intranet; 所述通信节点路径确认模块用于确认不同应用服务器之间的通信节点和最优路径,并对最优路径进行通信质量检测,通信指令尝试接入模块用于使不同应用服务器进行通信指令的发布,进行监测通信指令的发送速率,最优路径内通信质量参数检测模块用于监测不同应用服务器之间最优通信路径的通信质量,通信数据质量判定模块用于根据不同应用服务器之间的通信质量进行等级判定,物联网数据管理平台用于对系统内部模块的协调和数据上传;The communication node path confirmation module is used to confirm the communication node and the optimal path between different application servers, and to perform communication quality detection on the optimal path, and the communication instruction access module is used to make different application servers issue communication instructions. , to monitor the sending rate of communication instructions, the communication quality parameter detection module in the optimal path is used to monitor the communication quality of the optimal communication path between different application servers, and the communication data quality determination module is used to determine the communication quality between different application servers. For grade determination, the IoT data management platform is used to coordinate and upload data to the internal modules of the system; 所述通信节点路径确认模块包括通信节点筛选子模块和不同节点最优路径确认子模块,通信节点筛选子模块用于对不同应用服务器之间相互的通信节点进行筛选,确认不同节点的通信路径,不同节点最优路径确认子模块用于对不同节点之间的路径进行统计,确认不同应用服务器之间两个通信节点的最优路径,从而将最优路径发送给通信指令尝试接入模块;The communication node path confirmation module includes a communication node screening submodule and a different node optimal path confirmation submodule, and the communication node screening submodule is used for screening mutual communication nodes between different application servers, and confirming the communication paths of different nodes, The optimal path confirmation sub-module of different nodes is used to count the paths between different nodes, confirm the optimal path of two communication nodes between different application servers, and send the optimal path to the communication instruction to try to access the module; 所述通信指令尝试接入模块包括应用服务器端口指令接入子模块和通信指令发送速率监测子模块,应用服务器端口指令接入子模块用于将应用服务器通过端口接入通信节点,对节点发送通信指令至下一个节点,通信指令发送速率监测子模块用于监测节点接入通信指令后通过最优指令发送至另一个节点的信道容量和信道干扰率,从而判断不同应用服务器之间通信节点的发送速率,设定不同节点指令发送端的信息量为Kibit,接收端的信息量为Kjbit,其中,指令发送端至接收端的时间为ts,设定信道干扰率为K0,根据公式:
Figure FDA0003217945770000021
设定信道容量为Kx,
Figure FDA0003217945770000022
当K0小于设定阈值时,判定当前通信节点之间信道干扰率较小,统计不同应用服务器之间通信节点信道的信道容量,判断不同应用服务器之间通信节点的发送速率,对统计的不同应用服务器之间通信节点发送速率进行按顺序标记,制成列表发送至最优路径内通信质量参数检测模块;
The communication command attempt access module includes an application server port command access sub-module and a communication command sending rate monitoring sub-module, the application server port command access sub-module is used to connect the application server to the communication node through the port, and send communication to the node. The command is sent to the next node, and the communication command sending rate monitoring sub-module is used to monitor the channel capacity and channel interference rate that the node sends to another node through the optimal command after accessing the communication command, so as to judge the sending of communication nodes between different application servers. rate, set the amount of information at the sending end of different nodes as K i bit, and the amount of information at the receiving end as K j bit, where the time from the sending end of the command to the receiving end is ts, and the channel interference rate is set as K 0 , according to the formula:
Figure FDA0003217945770000021
Set the channel capacity as Kx,
Figure FDA0003217945770000022
When K 0 is less than the set threshold, it is determined that the channel interference rate between the current communication nodes is small, the channel capacity of the communication node channel between different application servers is calculated, and the transmission rate of communication nodes between different application servers is judged. The sending rate of communication nodes between application servers is marked in order, and a list is made and sent to the communication quality parameter detection module in the optimal path;
所述最优路径内通信参数检测模块包括通信路径信号强度分析子模块和信号差错率分析子模块,通信路径信号强度分析子模块用于对不同应用服务器之间通信节点内部的信号强度进行监测,分析节点发送端和接收端不同的信号,判断通信信道内部的通信质量,信号差错率分析子模块根据分析通信节点发送端和接收端的信号,检测其信道内部的信号差错率,对不同信道的信号差错率进行统计,将不同应用服务器之间通信节点内部的信道信号强度和信号差错率发送给通信数据质量判定模块;The communication parameter detection module in the optimal path includes a communication path signal strength analysis sub-module and a signal error rate analysis sub-module, and the communication path signal strength analysis sub-module is used to monitor the signal strength inside the communication nodes between different application servers, Analyze the different signals of the node's sending end and the receiving end, and judge the communication quality inside the communication channel. The signal error rate analysis sub-module detects the signal error rate inside the channel according to the analysis of the signals at the sending end and the receiving end of the communication node. The error rate is counted, and the channel signal strength and signal error rate within the communication nodes between different application servers are sent to the communication data quality determination module; 所述通信数据质量判定模块包括各节点通信质量等级标记子模块和低质量节点通信告警子模块,各节点通信质量等级标记子模块用于获取最优路径内通信参数检测模块检测的通信信道参数,通信信道参数包括不同应用服务器之间通信节点内部的信号强度和信道信号差错率,将检测数的信号强度和信道信号差错率排序后形成列表,按照排序进行等级划分,将列表发送给低质量节点通信告警子模块,低质量节点通信告警子模块用于对应用服务器之间通信节点内部的信号强度和信道信号差错率低于设定阈值的通信节点进行告警,发送给物联网数据管理平台进行人工处理;The communication data quality judging module includes a communication quality level marking sub-module of each node and a low-quality node communication warning sub-module, and the communication quality level marking sub-module of each node is used to obtain the communication channel parameters detected by the communication parameter detection module in the optimal path, The communication channel parameters include the signal strength and channel signal error rate inside the communication nodes between different application servers. The detected signal strength and channel signal error rate are sorted to form a list, and the list is divided according to the ranking, and the list is sent to the low-quality nodes. Communication alarm sub-module, low-quality node communication alarm sub-module is used to alarm the communication nodes whose signal strength and channel signal error rate in the communication nodes between application servers are lower than the set threshold, and send them to the IoT data management platform for manual processing. deal with; 所述物联网数据管理平台包括各节点数据上传子模块和人工干预通道,各节点数据上传子模块用于接收系统内部各个模块监测的数据进行存储和备份,以便进行调用,人工干预通道用于使人工对通道内部各个模块人工进行维护和数据干预。The IoT data management platform includes a data uploading sub-module of each node and a manual intervention channel. The data uploading sub-module of each node is used to receive the data monitored by each module inside the system for storage and backup so as to be called, and the manual intervention channel is used to make Manual maintenance and data intervention for each module inside the channel.
2.一种基于物联网平台的通信数据质量监测方法,其特征在于:2. a communication data quality monitoring method based on the Internet of Things platform, is characterized in that: S1:利用通信节点路径确认模块确认不同应用服务器之间的通信节点和最优路径,并对最优路径进行通信质量检测,通信节点筛选子模块对不同应用服务器之间相互的通信节点进行筛选,确认不同节点的通信路径,不同节点最优路径确认子模块对不同节点之间的路径进行统计,确认不同应用服务器之间两个通信节点的最优路径,从而将最优路径发送给通信指令尝试接入模块、最优路径内通信质量参数检测模块;S1: Use the communication node path confirmation module to confirm the communication nodes and optimal paths between different application servers, and perform communication quality detection on the optimal paths. The communication node screening sub-module screens the mutual communication nodes between different application servers. Confirm the communication paths of different nodes. The optimal path confirmation sub-module of different nodes counts the paths between different nodes, confirms the optimal paths of two communication nodes between different application servers, and sends the optimal path to the communication command attempt. Access module, communication quality parameter detection module in the optimal path; S2:利用通信指令尝试接入模块使不同应用服务器进行通信指令的发布,进行监测通信指令的发送速率,应用服务器端口指令接入子模块将应用服务器通过端口接入通信节点,对节点发送通信指令至下一个节点,通信指令发送速率监测子模块监测节点接入通信指令后通过最优指令发送至另一个节点的信道容量和信道干扰率,从而判断不同应用服务器之间通信节点的发送速率,设定不同节点指令发送端的信息量为Kibit,接收端的信息量为Kjbit,其中,指令发送端至接收端的时间为ts,设定信道干扰率为K0,根据公式:
Figure FDA0003217945770000041
设定信道容量为Kx,
Figure FDA0003217945770000042
当K0小于设定阈值时,判定当前通信节点之间信道干扰率较小,统计不同应用服务器之间通信节点信道的信道容量,判断不同应用服务器之间通信节点的发送速率,对统计的不同应用服务器之间通信节点发送速率进行按顺序标记,制成列表发送至最优路径内通信质量参数检测模块;
S2: Use the communication command to try to access the module to make different application servers issue communication commands and monitor the sending rate of the communication commands. The application server port command access sub-module connects the application server to the communication node through the port, and sends the communication command to the node. To the next node, the communication command sending rate monitoring sub-module monitors the channel capacity and channel interference rate sent to another node through the optimal command after the node accesses the communication command, thereby judging the sending rate of the communication nodes between different application servers. The amount of information at the sending end of the command of different nodes is K i bit, and the amount of information at the receiving end is K j bit, where the time from the sending end of the command to the receiving end is ts, and the channel interference rate is set as K 0 , according to the formula:
Figure FDA0003217945770000041
Set the channel capacity as Kx,
Figure FDA0003217945770000042
When K 0 is less than the set threshold, it is determined that the channel interference rate between the current communication nodes is small, the channel capacity of the communication node channel between different application servers is calculated, and the transmission rate of communication nodes between different application servers is judged. The sending rate of communication nodes between application servers is marked in order, and a list is made and sent to the communication quality parameter detection module in the optimal path;
S3:利用最优路径内通信质量参数检测模块监测不同应用服务器之间最优通信路径的通信质量,通信路径信号强度分析子模块对不同应用服务器之间通信节点内部的信号强度进行监测,分析节点发送端和接收端不同的信号,判断通信信道内部的通信质量,信号差错率分析子模块根据分析通信节点发送端和接收端的信号,检测其信道内部的信号差错率,对不同信道的信号差错率进行统计,将不同应用服务器之间通信节点内部的信道信号强度和信号差错率发送给通信数据质量判定模块;S3: Use the communication quality parameter detection module in the optimal path to monitor the communication quality of the optimal communication path between different application servers, and the communication path signal strength analysis sub-module monitors the signal strength inside the communication nodes between different application servers, and analyzes the node The signal error rate analysis sub-module analyzes the signals of the transmitting end and the receiving end of the communication node, detects the signal error rate inside the channel, and analyzes the signal error rate of different channels. Carry out statistics, and send the channel signal strength and signal error rate within the communication nodes between different application servers to the communication data quality determination module; S4:利用通信数据质量判定模块根据不同应用服务器之间的通信质量进行等级判定,各节点通信质量等级标记子模块获取最优路径内通信参数检测模块检测的通信信道参数,通信信道参数包括不同应用服务器之间通信节点内部的信号强度和信道信号差错率,将检测数的信号强度和信道信号差错率排序后形成列表,按照排序进行等级划分,将列表发送给低质量节点通信告警子模块,低质量节点通信告警子模块对应用服务器之间通信节点内部的信号强度和信道信号差错率低于设定阈值的通信节点进行告警,发送给物联网数据管理平台进行人工处理;S4: Use the communication data quality determination module to determine the level according to the communication quality between different application servers, and the communication quality level marking sub-module of each node obtains the communication channel parameters detected by the communication parameter detection module in the optimal path, and the communication channel parameters include different applications. The signal strength and channel signal error rate inside the communication nodes between the servers are sorted by the signal strength of the detected number and the channel signal error rate to form a list, which is classified according to the ranking, and the list is sent to the communication alarm sub-module of the low-quality node. The quality node communication alarm sub-module alarms the communication nodes whose signal strength and channel signal error rate within the communication nodes between the application servers is lower than the set threshold, and sends them to the IoT data management platform for manual processing; S5:利用物联网数据管理平台对系统内部模块的协调和数据上传,各节点数据上传子模块接收系统内部各个模块监测的数据进行存储和备份,以便进行调用,人工干预通道使人工对通道内部各个模块人工进行维护和数据干预。S5: Use the Internet of Things data management platform to coordinate and upload data to the internal modules of the system. The data upload sub-module of each node receives the data monitored by each module in the system for storage and backup, so as to facilitate the call. Module manual maintenance and data intervention.
3.根据权利要求2所述的一种基于物联网平台的通信数据质量监测方法,其特征在于:所述步骤S3中,通信路径信号强度分析子模块对不同应用服务器之间通信节点内部的信号强度进行监测,分析节点发送端和接收端不同的信号,判断通信信道内部的通信质量,还包括以下步骤:3. A kind of communication data quality monitoring method based on Internet of Things platform according to claim 2, it is characterized in that: in described step S3, the communication path signal strength analysis submodule is to the signal inside the communication node between different application servers Monitor the strength of the node, analyze the different signals of the node sending end and the receiving end, and judge the communication quality inside the communication channel, which also includes the following steps: 所述设定监测不同应用服务器之间不同通信节点通信强度,其中通信节点指令发送方的信号强度为N1、N2、N3、…、Nn-1、Nn,通信指令接收方的信号强度为M1、M2、M3、…、Mn-1、Mn,当Nn≥80dbm,判定为通信节点指令发送方信号强度差无法发送,当Mn≥80dbm,判定为通信节点指令接收方信号强度差无法接收,直接将监测的节点之间通信质量数据发送给低质量节点通信告警子模块进行自动告警,当监测发送方、接收方信号强度Mn、Nn∈[40dbm,80dbm),判定当前通信节点之间发送方和接收方的信号强度较为正常,将不同通信节点之间发送方节点和接收方节点进行匹配,按照不同通信节点监测信号强度进行排序后形成列表,将列表发送至通信数据质量判定模块。The setting monitors the communication strengths of different communication nodes between different application servers, wherein the signal strengths of the communication node instruction sender are N 1 , N 2 , N 3 , . . . , N n-1 , N n , and the communication instruction receiver The signal strength is M 1 , M 2 , M 3 , ..., Mn -1 , Mn , when N n ≥ 80dbm, it is determined that the signal strength of the communication node command sender is poor and cannot be sent, and when Mn ≥ 80dbm, it is determined to be communication If the signal strength of the node command receiver is poor and cannot be received, it directly sends the monitored communication quality data between nodes to the low-quality node communication alarm sub-module for automatic alarm. ), determine that the signal strength of the sender and the receiver between the current communication nodes is relatively normal, match the sender node and the receiver node between different communication nodes, and sort them according to the monitoring signal strength of different communication nodes to form a list. Sent to the communication data quality determination module. 4.根据权利要求2所述的一种基于物联网平台的通信数据质量监测方法,其特征在于:所述步骤S3中,信号差错率分析子模块根据分析通信节点发送端和接收端的信号,检测其信道内部的信号差错率,对不同信道的信号差错率进行统计,还包括以下步骤:4. a kind of communication data quality monitoring method based on Internet of Things platform according to claim 2, is characterized in that: in described step S3, the signal error rate analysis sub-module detects according to the signal of the communication node sending end and the receiving end, detects The signal error rate inside the channel is counted on the signal error rate of different channels, and the following steps are also included: 所述设定通信节点指令发送方向指令接收方进行发送指令信号,其中,对信道内部信号差错率进行检验,设定信道内部信号差错率检验的时间为t1、t2、t3、…、tn-1、tn,其中,t1为通信节点信号指令发送时间,tn为通信节点信号指令接受时间,上述监测时间信号差错率分别为C1、C2、C3、…、Cn-1、Cn,根据公式:The set communication node instructs the sending direction to instruct the receiver to send an instruction signal, wherein the error rate of the internal signal of the channel is checked, and the time for checking the error rate of the internal signal of the channel is set as t 1 , t 2 , t 3 , . . . , t n-1 , t n , where t 1 is the signal command sending time of the communication node, t n is the signal command receiving time of the communication node, and the signal error rates at the monitoring time are C 1 , C 2 , C 3 , ..., C respectively n-1 , C n , according to the formula:
Figure FDA0003217945770000071
Figure FDA0003217945770000071
Cn-C1≤10%C n -C 1 ≤10% 当监测的通信节点之间信道内部信号差错率满足上述公式,标记当前节点通信的通信质量合格,当监测的通信节点之间信道内部信号差错率不满足上述公式,标记当前节点通信的通信质量不合格,对不同通信节点逐一进行监测,统一数据形成列表发送给通信数据质量判定模块。When the signal error rate in the channel between the monitored communication nodes satisfies the above formula, the communication quality of the current node is marked as qualified; when the signal error rate in the channel between the monitored communication nodes does not meet the above formula, the communication quality of the current node is marked as not good. If qualified, monitor different communication nodes one by one, and form a unified data list and send it to the communication data quality judgment module.
CN202010321280.1A 2020-04-22 2020-04-22 A communication data quality monitoring system and method based on the Internet of Things platform Active CN111490913B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010321280.1A CN111490913B (en) 2020-04-22 2020-04-22 A communication data quality monitoring system and method based on the Internet of Things platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010321280.1A CN111490913B (en) 2020-04-22 2020-04-22 A communication data quality monitoring system and method based on the Internet of Things platform

Publications (2)

Publication Number Publication Date
CN111490913A CN111490913A (en) 2020-08-04
CN111490913B true CN111490913B (en) 2021-10-08

Family

ID=71798457

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010321280.1A Active CN111490913B (en) 2020-04-22 2020-04-22 A communication data quality monitoring system and method based on the Internet of Things platform

Country Status (1)

Country Link
CN (1) CN111490913B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111954237B (en) * 2020-08-19 2021-04-16 瀚一数据科技(深圳)有限公司 A system and method for realizing fast data transmission between network devices
CN116991088A (en) * 2023-07-24 2023-11-03 北京三维天地科技股份有限公司 Remote control method for detecting new energy battery

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1123073A (en) * 1994-02-01 1996-05-22 夸尔柯姆股份有限公司 Method and apparatus for providing communication link quality indication
CN1540880A (en) * 2003-04-24 2004-10-27 ������������ʽ���� Communication device, its program and recording medium
CN102118843A (en) * 2009-12-31 2011-07-06 华为技术有限公司 Power control method and device of of carrier aggregation
CN102131262A (en) * 2010-01-14 2011-07-20 通用电气公司 Intelligent heterogeneous wireless handoff
CN102438313A (en) * 2011-09-06 2012-05-02 南京邮电大学 Allocation method based on cognitive radio communication
CN102594703A (en) * 2012-03-19 2012-07-18 广州华多网络科技有限公司 Relay-node-based Internet communication system and communication path selection method
CN105457898A (en) * 2014-09-03 2016-04-06 深圳市佳晨科技有限公司 Product sorting method and product sorting system
CN106230545A (en) * 2015-07-31 2016-12-14 北京智谷睿拓技术服务有限公司 Determine method and the device thereof of channel quality
CN107277137A (en) * 2017-06-21 2017-10-20 常熟理工学院 Big data sense of autonomy based on quality of service aware answers anti-collision control method
CN108494681A (en) * 2018-02-05 2018-09-04 普联技术有限公司 Data flow transmission method, wireless telecom equipment and the storage medium of multilink
CN109061056A (en) * 2018-07-06 2018-12-21 西安邮电大学 A kind of atmosphere quality monitoring device and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9356875B2 (en) * 2013-07-22 2016-05-31 Cisco Technology, Inc. Using statistical and historical information of topology metrics in constrained networks

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1123073A (en) * 1994-02-01 1996-05-22 夸尔柯姆股份有限公司 Method and apparatus for providing communication link quality indication
CN1540880A (en) * 2003-04-24 2004-10-27 ������������ʽ���� Communication device, its program and recording medium
CN102118843A (en) * 2009-12-31 2011-07-06 华为技术有限公司 Power control method and device of of carrier aggregation
CN102131262A (en) * 2010-01-14 2011-07-20 通用电气公司 Intelligent heterogeneous wireless handoff
CN102438313A (en) * 2011-09-06 2012-05-02 南京邮电大学 Allocation method based on cognitive radio communication
CN102594703A (en) * 2012-03-19 2012-07-18 广州华多网络科技有限公司 Relay-node-based Internet communication system and communication path selection method
CN105457898A (en) * 2014-09-03 2016-04-06 深圳市佳晨科技有限公司 Product sorting method and product sorting system
CN106230545A (en) * 2015-07-31 2016-12-14 北京智谷睿拓技术服务有限公司 Determine method and the device thereof of channel quality
CN107277137A (en) * 2017-06-21 2017-10-20 常熟理工学院 Big data sense of autonomy based on quality of service aware answers anti-collision control method
CN108494681A (en) * 2018-02-05 2018-09-04 普联技术有限公司 Data flow transmission method, wireless telecom equipment and the storage medium of multilink
CN109061056A (en) * 2018-07-06 2018-12-21 西安邮电大学 A kind of atmosphere quality monitoring device and method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"Adaptive Fault-Tolerant QoS Control Algorithms for Maximizing System Lifetime of Query-Based Wireless Sensor Networks";Ing-Ray Chen,;《 IEEE Transactions on Dependable and Secure Computing》;20100108;161-176 *
"基于网络性能的VoIP语音质量评价模型";张秀武,;《小型微型计算机系统》;20100331(第3期);第460-464页 *
"电信宽带IP业务QoE研究";李振军,;《中国博士学位论文全文数据库-信息科技辑》;20101215(第12期);I136-23起全文 *

Also Published As

Publication number Publication date
CN111490913A (en) 2020-08-04

Similar Documents

Publication Publication Date Title
US20200396119A1 (en) Intelligent network
CN111490913B (en) A communication data quality monitoring system and method based on the Internet of Things platform
US7903657B2 (en) Method for classifying applications and detecting network abnormality by statistical information of packets and apparatus therefor
CN115038088B (en) Intelligent network security detection early warning system and method
CN111464247B (en) Signal receiving adjustable system and method based on data communication
CN109347880A (en) A kind of safety protecting method, apparatus and system
CN111698209A (en) Network abnormal flow detection method and device
CN113543188A (en) Wireless network signal quality detection method, terminal device and storage medium
CN115022908A (en) Method for predicting and positioning abnormity of core network and base station transmission network
CN117395625A (en) Remote data acquisition system for wireless network
CN119669503A (en) Customs Intelligent Specimen Cabinet Monitoring System
CN109922083A (en) A kind of network protocol flow control system
CN108759920B (en) Warehouse safety monitoring system based on thing networking
CN118348891B (en) Intelligent conference centralized control method and system based on information enhancement
CN119485206A (en) A four-network terminal communication method and system
CN118075314A (en) Intelligent public security monitoring method and system for power generation enterprises
CN103324153A (en) Device and method for automatic safety monitoring of boilers
CN116432469A (en) Data channel management system and method based on big data
CN110544182B (en) Power distribution communication network fusion control method and system based on machine learning technology
Huang et al. Safety monitoring scheme of gas pipeline network based on multi-homing technology
Yan et al. [Retracted] Defect Point Location Method of Civil Bridge Based on Internet of Things Wireless Communication
CN109803301B (en) Offline identification management system for wireless network
CN118200223B (en) Network link selection method, system and device based on lost data classification and classification
CN118747340B (en) Network data analysis system based on deep learning
CN113746688A (en) Method and device for updating anomaly detection model and computing equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A communication data quality monitoring system and method based on the Internet of Things platform

Granted publication date: 20211008

Pledgee: China Postal Savings Bank Co.,Ltd. Nanjing Branch

Pledgor: NANJING SHANGGU NETWORK TECHNOLOGY CO.,LTD.

Registration number: Y2025980003720

CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: Room 1407, 14 / F, building J, building 5, yunmi City, No.19, ningshuang Road, Yuhuatai District, Nanjing City, Jiangsu Province, 210012

Patentee after: Jiangsu Ancient Technology Co.,Ltd.

Country or region after: China

Address before: Room 1407, 14 / F, building J, building 5, yunmi City, No.19, ningshuang Road, Yuhuatai District, Nanjing City, Jiangsu Province, 210012

Patentee before: NANJING SHANGGU NETWORK TECHNOLOGY CO.,LTD.

Country or region before: China